See Mieng Tan
See Mieng Tan publishes mostly in Sociology and Political Science, Health Information Management and Public Health, Environmental and Occupational Health, on topics such as Electronic Health Records Systems, Palliative Care and End-of-Life Issues and Artificial Intelligence in Healthcare and Education.
- World rank
- #1,698,607 of 7,710,434 ranked researchers
- Rank in Singapore
- #8,705 of 23,642
- Works
- 26
- Citations
- 1.6k
- Citations per work
- 62.4
What does See Mieng Tan research?
See Mieng Tan's work is mostly in Health Professions (16%), Medicine (15%), Social Sciences (13%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Everything else1350.6%
- Health Sciences831.5%
- Health Professions416.5%
- Medicine415.0%
- Social Sciences517.9%
- 1Sociology and Political Science13% of their works
- 2Health Information Management9% of their works
- 3Public Health, Environmental and Occupational Health9% of their works
- 4General Health Professions8% of their works
- 5Cardiology and Cardiovascular Medicine6% of their works
- 6Economics and Econometrics4% of their works
Research topics
Which keywords describe See Mieng Tan's research?
The keywords of their largest research topics: Electronic Health Records, Ethical Considerations, Clinical Decision Support Systems, Health Information Exchange, Healthcare, Precision Medicine, Deep Learning and End-of-Life.
- Time Series
- Public Health
- Patient Similarity
- Genetic Variants
- Clustering
- Machine Learning
- Palliative Care
- End-of-Life
- Precision Medicine
- Health Information Exchange
- Ethical Considerations
- Electronic Health Records
- Clinical Decision Support Systems
- Healthcare
- Deep Learning
- Infectious Diseases
- Artificial Intelligence
- COVID-19
- Disaster Response
- Modeling
- Predictive Modeling
- Sequence Interpretation
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 22 words, with their numbers
- Electronic Health Records72 topics
- Ethical Considerations62 topics
- Clinical Decision Support Systems51 topic
- Health Information Exchange51 topic
- Healthcare52 topics
- Precision Medicine52 topics
- Deep Learning42 topics
- End-of-Life41 topic
- Infectious Diseases42 topics
- Palliative Care41 topic
- Artificial Intelligence31 topic
- Machine Learning31 topic
- COVID-1921 topic
- Clustering21 topic
- Disaster Response21 topic
- Genetic Variants21 topic
- Modeling21 topic
- Patient Similarity21 topic
- Predictive Modeling21 topic
- Public Health21 topic
- Sequence Interpretation21 topic
- Time Series21 topic
Where does See Mieng Tan work?
See Mieng Tan's main affiliation in the publication record is National University of Singapore, Singapore.
How many publications and citations does See Mieng Tan have?
OpenAlex counts 26 works and 1,622 citations for See Mieng Tan, an h-index of 9, ranking #1,698,607 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
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